This paper describes the prototype radiotherapy menu that Kayla O'Sullivan-Steben built for the Opal patient portal as part of her MSc thesis project at McGill University
This paper describes how Haley built a simple phantom and used film dosimetry to experimentally validate her rtdsm dose-surface mapping software.
This paper how Hossein combined radiomics and NLP to train an AI model to distinguish metastatic bone lesions from healthy bone.
This paper describes the work undertaken by James during his MSc project, simulating the indirect action of neutron radiation on DNA.
This paper presents a rtdsm, a dose-surface-mapping software package that Haley Patrick developed as part of her PhD research project.
An open-source softwaretool for dose-surface map generation and analysis
This paper presents a COMP, demonstrating the power and potential of dose-surface maps to investigate spatial effects of treatment planning parameters on delivered dose to the rectum.
This paper presents a novel methodology to distinguish between metastatic and healthy bone lesions using lesion-center-based geometric regions of interest, radiomics, and machine learning.
This paper describes the pan-Canadian efforts of the Canadian Partnership for Quality Radiotherapy to champion the use of patient-reported outcomes in Canadian radiation oncology practice.
This paper examines the relative biological effectiveness of DNA damage generated by thermal neutrons compared to gamma radiation. It uses experimental data gathered using the 64 meV neutron beam at the National Research Universal reactor at Canadian Nuclear Labs.